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MIMO Detection Techniques Based on Low Complexity Adaptive QR-Decomposition with M-Algorithm for 3GPP LTE Systems

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Abstract

In this paper, two novel multiple-input multiple-output (MIMO) detection algorithms, adaptive parallel QRDM (APQRDM) and adaptive iterative QRDM (AIQRDM) which are able to achieve the similar detection throughput as conventional QRDM while reducing the computational complexity, are introduced, and the system performances are evaluated on the platform of 3GPP LTE downlink. In both 2 × 2 and 4 × 4 MIMO, APQRDM and AIQRDM algorithms can achieve almost same packet error rate performance as those of conventional QRDM algorithm, while the computational complexity is significantly reduced. Also, the receiver employing APQRDM and AIQRDM detection algorithms shows the almost same throughput as the case of conventional MIMO detection algorithms. Furthermore, practical channel estimation techniques are employed, and the system performances are thoroughly analyzed and discussed.

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Authors and Affiliations

  1. The Graduate School of IT & T, Inha University, Incheon, Korea

    Bing Hui, Manar Mohaisen, Dongkeol Han & KyungHi Chang

  2. System SoC Research Department, ETRI, Daejeon, Korea

    YoungSeok Baek & Bontae Koo

Authors
  1. Bing Hui
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  2. Manar Mohaisen
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  3. Dongkeol Han
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  4. KyungHi Chang
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  5. YoungSeok Baek
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  6. Bontae Koo
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Correspondence to KyungHi Chang.

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Hui, B., Mohaisen, M., Han, D. et al. MIMO Detection Techniques Based on Low Complexity Adaptive QR-Decomposition with M-Algorithm for 3GPP LTE Systems. Wireless Pers Commun 67, 505–523 (2012). https://doi.org/10.1007/s11277-011-0392-6

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  • DOI: https://doi.org/10.1007/s11277-011-0392-6

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